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This book is under construction. The version currently shared with students: mude.citg.tudelft.nl/book

Textbook

Q1 Topics

1. Numerical Modelling
2. Multivariate Distributions
3. Uncertainty Propagation
4. Observation theory

Programming topics Q1

1. Getting Started!
2. Version Control with Git
3. Sharing code in reports
- 3.1. File Paths
- 3.2. Markdown
4. Large language models

Q2 Topics

1. Numerical Methods for PDEs
2. Finite Element Method
3. Signal Processing
4. Time Series Analysis
5. Optimization
6. Machine Learning
7. Extreme Value Analysis
8. Risk and Reliability

Programming topics Q2

1. Object-oriented programming
2. Programming with large matrices
3. Errors in Python
- 3.1. Error Types
- 3.2. The Python Traceback
4. Testing in Python
5. Python packaging
- 5.1. Packaging

Appendix

I. Modelling Concepts
II. Numerical Modelling
III. Univariate Continuous Distributions
IV. Table: Standard Normal Distribution
V. Observation Theory

Miscellaneous

References
Changelog
Credits and License

Repository
Open issue

Index

By MUDE Teachers and the Student Army from Delft University of Technology